Results 161 to 170 of about 2,564,259 (289)

A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper proposes an innovative shared control method that can handle multiple objectives task by integrating various types of controllers. It not only takes into account the priorities among the objectives but also allows for the flexible addition or removal of objective controllers.
Xilin Xiao   +7 more
wiley   +1 more source

Applied Artificial Intelligence in Materials Science and Material Design

open access: yesAdvanced Intelligent Systems, EarlyView.
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel   +7 more
wiley   +1 more source

Model‐Free Deep Reinforcement Learning with Multiple Line‐of‐Sight Guidance Laws for Autonomous Underwater Vehicles Full‐Attitude and Velocity Control

open access: yesAdvanced Intelligent Systems, EarlyView.
In this study, a deep reinforcement learning framework with multi‐line‐of‐sight guidance is proposed. An augmented‐twin delayed deep deterministic policy gradient algorithm adapts to attitude changes efficiently, reducing computational costs. Simulations show 30.8% faster training and mitigates rudder/exergy issues, validated by an X‐rudder autonomous ...
Chengren Yuan   +5 more
wiley   +1 more source

Self‐Organized Multitarget Pursuit in Multi‐Unmanned Aerial Vehicle Systems via Hierarchical Probabilistic Graphical Models

open access: yesAdvanced Intelligent Systems, EarlyView.
Multi‐UAV systems face challenges in adversarial environments due to limited adaptability and interpretability. This study proposes a self‐organized approach using hierarchical probabilistic graphical models with density‐driven parameter estimation.
Yixin Huang   +5 more
wiley   +1 more source

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